Literature DB >> 21670259

Metabolic principles of river basin organization.

Ignacio Rodriguez-Iturbe1, Kelly K Caylor, Andrea Rinaldo.   

Abstract

The metabolism of a river basin is defined as the set of processes through which the basin maintains its structure and responds to its environment. Green (or biotic) metabolism is measured via transpiration and blue (or abiotic) metabolism through runoff. A principle of equal metabolic rate per unit area throughout the basin structure is developed and tested in a river basin characterized by large heterogeneities in precipitation, vegetation, soil, and geomorphology. This principle is suggested to have profound implications for the spatial organization of river basin hydrologic dynamics, including the minimization of energy expenditure known to control the scale-invariant characteristics of river networks over several orders of magnitude. Empirically derived, remarkably constant rates of average transpiration per unit area through the basin structure lead to a power law for the probability distribution of transpiration from a randomly chosen subbasin. The average runoff per unit area, evaluated for subbasins of a wide range of topological magnitudes, is also shown to be remarkably constant independently of size. A similar result is found for the rainfall after accounting for canopy interception. Allometric scaling of metabolic rates with size, variously addressed in the biological literature and network theory under the label of Kleiber's law, is similarly derived. The empirical evidence suggests that river basin metabolic activity is linked with the spatial organization that takes place around the drainage network and therefore with the mechanisms responsible for the fractal geometry of the network, suggesting a new coevolutionary framework for biological, geomorphological, and hydrologic dynamics.

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Year:  2011        PMID: 21670259      PMCID: PMC3141979          DOI: 10.1073/pnas.1107561108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  5 in total

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2.  Size and form in efficient transportation networks.

Authors:  J R Banavar; A Maritan; A Rinaldo
Journal:  Nature       Date:  1999-05-13       Impact factor: 49.962

3.  Supply-demand balance and metabolic scaling.

Authors:  Jayanth R Banavar; John Damuth; Amos Maritan; Andrea Rinaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

4.  A general basis for quarter-power scaling in animals.

Authors:  Jayanth R Banavar; Melanie E Moses; James H Brown; John Damuth; Andrea Rinaldo; Richard M Sibly; Amos Maritan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-19       Impact factor: 11.205

5.  A general model for the origin of allometric scaling laws in biology.

Authors:  G B West; J H Brown; B J Enquist
Journal:  Science       Date:  1997-04-04       Impact factor: 47.728

  5 in total
  3 in total

1.  Exploring network scaling through variations on optimal channel networks.

Authors:  Lily A Briggs; Mukkai Krishnamoorthy
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

2.  Maximum entropy production, carbon assimilation, and the spatial organization of vegetation in river basins.

Authors:  Manuel del Jesus; Romano Foti; Andrea Rinaldo; Ignacio Rodriguez-Iturbe
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-03       Impact factor: 11.205

Review 3.  Ecohydrology 2.0.

Authors:  Andrea Rinaldo; Ignacio Rodriguez-Iturbe
Journal:  Rend Lincei Sci Fis Nat       Date:  2022-05-04       Impact factor: 1.810

  3 in total

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